Author

Zachary D. Schmitz

University of MinnesotaPrimary ORCID profile (0000-0001-5082-8680 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Zachary D. SchmitziD1 paper · Oak Ridge National Laboratory

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Benjamin J. HackeliD· 2 shared Adam McConnell· 1 shared Alexander W. GolinskiiD· 1 shared Bryce JohnsoniD· 1 shared Diya Saha· 1 shared Gregory H. Nielsen· 1 shared Jonathan Collins· 1 shared Sandhya AppiahiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersSynthetic Biology

Benjamin J. HackelORCID

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2 papers

Recent·Most cited

Sequence-function mapping of proline-rich antimicrobial peptides

Jonathan Collins, Adam McConnell, Zachary D. Schmitz, Benjamin J. Hackel

The paper maps sequence-function relationships in proline-rich antimicrobial peptides using SAMP-Dep, identifying mutational patterns and epistasis that influence activity and specificity.

bioRxiv · Jan 28, 2024 · PreprintSynthetic Biology

Predicting and Interpreting Protein Developability via Transfer of Convolutional Sequence Representation

Alexander W. Golinski, Zachary D. Schmitz, Gregory H. Nielsen, Bryce Johnson, Diya Saha, Sandhya Appiah, Benjamin J. Hackel, Stefano Martiniani

This paper predicts and interprets protein developability using transfer learning on a high-throughput dataset of engineered protein variants.

ACS Synthetic Biology · Aug 29, 2023Peer-reviewedBioinformatics